{"id":1232655,"url":"https://alion.io/job/endowus-analytics-engineer","title":"Analytics Engineer","company":{"id":50217,"name":"Endowus","domain":"endowus.com","url":"https://alion.io/company/endowus","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"BigQuery","optional":true},{"name":"Git","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Synthetic Data","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-25T15:25:11Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T20:18:38Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Endowus\nEndowus is an award-winning, independent fee-only wealth platform licensed in Singapore (MAS 101051) and Hong Kong (SFC BQR225). We serve over 300,000 clients-individuals, family offices, charities, and institutions-with over US$12 billion in assets under advice.\nOur mission: help people invest better so they can live easier today, and better tomorrow. Today, we work with 100+ global leading asset managers across major asset classes - public markets, private markets, hedge funds and alternatives - and make it our job to assess and access their Best-in-Class funds, and advise clients on how to invest in these funds to reach their goals.\nThe team has deep domain knowledge in finance and technology, bringing together decades of experience from various banks and tech companies. We treasure our diversity in background and experience, and we look for people who share these beliefs in our mission.\nThe Opportunity\nWe are hiring our first Analytics Engineer to build the data models and metric definitions that power analytics across Endowus.\nReporting to our Data Analytics Manager, you will develop and own our data models on dbt, the automated tests that keep them reliable, and the metric definitions feeding our semantic layer and BI tools. You will design models that enable core teams including Product, Marketing, and Operations to get to answers faster.\nThis role offers a rare opportunity to structure complex financial domains - from client portfolios and fund transactions to multi-currency valuations across two markets. As we rapidly adopt AI tools, you will gain hands-on experience building the governed data foundations that make self-serve analytics and AI-assisted workflows reliable.\nWhat You'll Do\nModel the data. Build and maintain dbt models end-to-end, collaborating with Data Engineering and software engineers to transform source data into clean, intuitive models for business teams.\nMake it trustworthy. Implement automated testing, freshness monitoring, and dbt documentation so model changes are traceable, tested, and reliable.\nGovern the metrics. Partner with business stakeholders and analysts to standardise core metric definitions, establishing a canonical source of truth for key business numbers.\nEnable self-serve. Support our transition to a dbt-native BI layer, designing data models and semantic definitions that make independent querying intuitive for cross-functional teams.\nWhere This Role Grows\nYou will play a central role in shaping analytics engineering as a practice at Endowus. As our platform matures, this seat offers clear opportunities for long-term growth: taking full ownership of our semantic layer and analytics architecture, bridging into data engineering, or driving technical direction as the team expands. We work with you directly to tailor your growth path as your scope expands.\nThe Must-Haves\nSQL depth. You have 1 to 3 years of hands-on SQL experience, using CTEs, window functions and nested structures to build performant, reusable logic.\nEngineering mindset. You take a structured approach to analytics, using version control, code reviews, and testing to build maintainable models.\nSystems thinking. You view source data, transformations, semantic layers, and BI as one connected system, anticipating downstream impacts before modifying a model or definition.\nClear technical writing. You write clear specs, documentation, and metric definitions, exercising good judgment to refine AI outputs into concise, human-centered text.\nAI-native curiosity. You actively use AI tools to accelerate your work, driven by a genuine curiosity about our data and business.\nComfort with ambiguity. You thrive on loosely defined problems, taking the initiative to gather context, state your assumptions, and move forward.\nThe Nice-to-Haves\nHands-on experience with dbt, Git, or version-controlled data transformation workflows.\nExperience querying cloud data platforms or engines (AWS Athena, BigQuery, Snowflake).\nFamiliarity with modern BI platforms (Mode, Looker, Tableau, Power BI) and an interest in semantic layer concepts.\nExposure to event tracking or product analytics tools (Amplitude, GA4, or equivalent).\nExposure to or strong interest in financial services, wealth management, or investment concepts.\nWhy Not Endowus\nWe want you to thrive here, which means being transparent about the role and environment:\nYou demand perfect architecture over iterative progress. We value robust data design, but we operate in a fast-paced business. Success means developing the pragmatism to know when a scalable, long-term model is required, and when an iterative solution is the right call.\nYou want a fully mapped-out, mature stack to maintain. Analytics engineering is a growing discipline here. You get the opportunity to define conventions and build patterns from the ground up alongside a supportive data team.\nYou expect fully standardised data and rigid specs. Source data here may not always be neatly structured upfront. You will collaborate with stakeholders to gather context and define requirements, with the autonomy to innovate on how data is modelled.\nHow We Hire\nWe care more about how you think than which tools you have memorised. Our process reflects the day-to-day role:\nHiring Manager Conversation (45 min) - Discussion on your technical background, approach to data modelling, and stakeholder management.\nTake-Home Case Study (2 hours, plus review) - A practical modelling scenario using synthetic data where you frame the problem, account for edge cases, and walk through assumptions with a peer panel.\nFinal Conversation - Chat with our Product & Data Director focused on team fit and alignment.\nOur Investors, recognition, licensing\nFounded in 2017, Endowus has raised over US$130 million from investors including UBS, EDBI, Prosus Ventures, Lightspeed Venture Partners, Citi Ventures, MUFG Innovation Partners, Singtel Innov8, Samsung Ventures, SBVA, Illuminate Financial, OSK Ventures, Z Venture Capital, and ACF - a joint venture between JLIN LLC and The Wells Investments. Endowus also counts some of the largest billionaire family offices in Asia among its investors.\nEndowus partners with 1,000+ global fund managers across public markets, private markets, hedge funds, and alternatives to deliver world-class solutions at transparent cost through its fee-only model. Private Wealth clients access curated strategies from firms such as EQT, Carlyle, Partners Group, KKR, Ares, Brookfield Oaktree, HarbourVest, Millennium, Point72, Bridgewater, and more.Recognition includes CNBC's World's Top FinTech Companies 2025, the Financial Times' High-Growth Companies Asia Pacific 2025 (#45), Fortune Fintech Innovators Asia 2024, and the World Economic Forum's Technology Pioneers 2023. The platform has won Asia's Best Digital Wealth Management and Hong Kong's Best FinTech Innovation in Asset Management (Asia Asset Management 2025), Singapore's Best Digital Wealth Management Experience (The Asset Triple A 2025), and Best WealthTech Solution 2023 (Asian Private Banker).\nThe Endowus Group comprises licensed companies in Hong Kong and Singapore, and Hong Kong-based multi-family office Carret Private. With group assets over US$12 billion, Endowus is one of the largest independent wealth managers in Asia, estimated to save clients more than US$50 million in fees per year.","description_format":"text","description_chars":7375,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Investing Apps & Robo-Advisors"],"lifecycle":[{"event":"open","at":"2026-09-25T15:25:11Z"}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":0.9,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":30,"reasons":["conf:62","velocity","win:early","comp:junior"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/endowus-analytics-engineer","json_url":"https://alion.io/job/endowus-analytics-engineer.json","meta":{"generated_at":"2026-09-29T03:59:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3746,"day_limit":5000,"remaining_today":1254,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}